TY - GEN
T1 - Laser Spot-Assisted Long-Distance Visual Measurement of Structural Vibration
AU - Yi, Guanhua
AU - Deng, Rongfeng
AU - Cao, Yanling
AU - Huang, Baoshan
AU - Gu, Fengshou
N1 - Funding Information:
Supports from the National Natural Science Foundation of China (62076029), Inner Mongolia Autonomous Region Science and Technology Program (2023YFSW003), the Guangdong Provincial Department of Education Characteristic Innovation Project (2022KTSCX199, 2021KTSCX186) and the Guangdong Provincial Department of Education Key Area Research Special Programme (2021ZDZX1089) are gratefully acknowledged.
Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024/9/4
Y1 - 2024/9/4
N2 - Visual vibration measurement technologies have received more and more attention due to their non-contact and full field measurement characteristics. However, such techniques in practical applications, especially in measuring vibration of large structures can also result in low spatial resolution of images due to long-distance measurements, which in turn leads to insufficient detection capability of small vibrations and limits the effectiveness of structural health monitoring. In this paper, a laser spot-assisted long-distance vibration measurement method for large structures is proposed, in which the structural vibration is converted to ground spot movement by installing a laser light source on the structure, and the indirect measurement of structural vibration is realized by detecting the movement of the laser spot at a close distance. The proposed method not only converts the structural vibration long-distance visual measurement problem into a close spot vibration measurement problem, which improves the image resolution, but also the spot vibration has a significant amplification effect on the structural vibration, which again improves the signal-to-noise ratio of the vibration detection results. The effectiveness of the proposed method is verified by simple experiments under laboratory conditions.
AB - Visual vibration measurement technologies have received more and more attention due to their non-contact and full field measurement characteristics. However, such techniques in practical applications, especially in measuring vibration of large structures can also result in low spatial resolution of images due to long-distance measurements, which in turn leads to insufficient detection capability of small vibrations and limits the effectiveness of structural health monitoring. In this paper, a laser spot-assisted long-distance vibration measurement method for large structures is proposed, in which the structural vibration is converted to ground spot movement by installing a laser light source on the structure, and the indirect measurement of structural vibration is realized by detecting the movement of the laser spot at a close distance. The proposed method not only converts the structural vibration long-distance visual measurement problem into a close spot vibration measurement problem, which improves the image resolution, but also the spot vibration has a significant amplification effect on the structural vibration, which again improves the signal-to-noise ratio of the vibration detection results. The effectiveness of the proposed method is verified by simple experiments under laboratory conditions.
KW - Laser Spot
KW - Vibration Amplification
KW - Vision-based Vibration Detection
UR - http://www.scopus.com/inward/record.url?scp=85204380100&partnerID=8YFLogxK
UR - https://doi.org/10.1007/978-3-031-69483-7
U2 - 10.1007/978-3-031-69483-7_49
DO - 10.1007/978-3-031-69483-7_49
M3 - Conference contribution
AN - SCOPUS:85204380100
SN - 9783031694820
SN - 9783031694851
VL - 169
T3 - Mechanisms and Machine Science
SP - 543
EP - 550
BT - Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic - TEPEN2024-IWFDP
A2 - Liu, Tongtong
A2 - Zhang, Fan
A2 - Huang, Shiqing
A2 - Wang, Jingjing
A2 - Gu, Fengshou
PB - Springer, Cham
T2 - TEPEN International Workshop on Fault Diagnostic and Prognostic
Y2 - 8 May 2024 through 11 May 2024
ER -
